{"id":"W2167856990","doi":"10.1145/2608628.2608666","title":"Quantifier elimination by cylindrical algebraic decomposition based on regular chains","year":2014,"lang":"en","type":"article","venue":"","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Quantifier elimination; Decomposition; Algebraic number; Quantifier (linguistics); Mathematics; Algebra over a field; Computer science; Discrete mathematics; Pure mathematics; Artificial intelligence; Mathematical analysis; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171538,0.0007200121,0.0008080589,0.001519372,0.0006818505,0.001375837,0.0008735924,0.0003576807,0.005509475],"category_scores_gemma":[0.003016387,0.0004848916,0.001370967,0.001164854,0.001178273,0.002017422,0.001933029,0.001297561,0.002083351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000609248,"about_ca_system_score_gemma":0.001101031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002179908,"about_ca_topic_score_gemma":0.003064831,"domain_scores_codex":[0.9990162,0.0001598789,0.00006926782,0.0001970753,0.0003969343,0.0001606019],"domain_scores_gemma":[0.998754,0.000429973,0.00009716195,0.000246952,0.0004027247,0.00006908276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004159993,0.0001307499,0.001507115,0.0004442065,0.00008352494,0.0005198264,0.0004575334,0.05841423,0.06889614,0.4067147,0.007714043,0.4547019],"study_design_scores_gemma":[0.0001198914,0.0001968372,0.0006265457,0.0001197816,0.00008376184,0.0005569598,0.0001301739,0.4537241,0.07137918,0.4361424,0.03680905,0.0001112387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01090242,0.00005768378,0.9856537,0.00005314282,0.00001914822,0.00004694894,0.0000980398,0.00168577,0.001483182],"genre_scores_gemma":[0.1092907,0.0001121149,0.8868021,0.00007248711,0.0000257982,0.00006274122,0.0005316929,0.0005927366,0.002509624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005509475,"threshold_uncertainty_score":0.01843101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181799080922886,"score_gpt":0.3242395777388102,"score_spread":0.3124215869295813,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}